[1]} report that SC-GPT achieves new state-of-the-art on the public benchmark of dialog response generation, significantly outperforming all the other corpus-based methods including GPT-2 and SC-LSTM.
In contrast to GPT-2 that generates fluent but not tightly DA-controlled text, SC-GPT can convert DAs into responses that not only are fluent but contain adequate intent and slot-value information specified by the DAs.
Compared to SC-LSTM, SC-GPT generalizes significantly more fluent text due to the pre-training on massive text corpora and DA-labeled datasets.
